Documentation for svmkit (0.7.0)

Alphabetic Index

File Listing

README

Namespace Listing A-Z

A

Accuracy (SVMKit::EvaluationMeasure)
AdaBoostClassifier (SVMKit::Ensemble)
AdaBoostRegressor (SVMKit::Ensemble)

B

Base (SVMKit)
BaseEstimator (SVMKit::Base)
BaseNaiveBayes (SVMKit::NaiveBayes)
BernoulliNB (SVMKit::NaiveBayes)

C

Classifier (SVMKit::Base)
ClusterAnalyzer (SVMKit::Base)
Clustering (SVMKit)
CrossValidation (SVMKit::ModelSelection)

D

DBSCAN (SVMKit::Clustering)
Dataset (SVMKit)
DecisionTreeClassifier (SVMKit::Tree)
DecisionTreeRegressor (SVMKit::Tree)
Decomposition (SVMKit)

E

Ensemble (SVMKit)
EvaluationMeasure (SVMKit)
Evaluator (SVMKit::Base)

F

FScore (SVMKit::EvaluationMeasure)
FactorizationMachineClassifier (SVMKit::PolynomialModel)
FactorizationMachineRegressor (SVMKit::PolynomialModel)

G

GaussianNB (SVMKit::NaiveBayes)

K

KFold (SVMKit::ModelSelection)
KMeans (SVMKit::Clustering)
KNeighborsClassifier (SVMKit::NearestNeighbors)
KNeighborsRegressor (SVMKit::NearestNeighbors)
KernelApproximation (SVMKit)
KernelMachine (SVMKit)
KernelSVC (SVMKit::KernelMachine)

L

L2Normalizer (SVMKit::Preprocessing)
LabelEncoder (SVMKit::Preprocessing)
Lasso (SVMKit::LinearModel)
LinearModel (SVMKit)
LinearRegression (SVMKit::LinearModel)
LogLoss (SVMKit::EvaluationMeasure)
LogisticRegression (SVMKit::LinearModel)

M

MeanAbsoluteError (SVMKit::EvaluationMeasure)
MeanSquaredError (SVMKit::EvaluationMeasure)
MinMaxScaler (SVMKit::Preprocessing)
ModelSelection (SVMKit)
Multiclass (SVMKit)
MultinomialNB (SVMKit::NaiveBayes)

N

NMF (SVMKit::Decomposition)
Nadam (SVMKit::Optimizer)
NaiveBayes (SVMKit)
NearestNeighbors (SVMKit)
Node (SVMKit::Tree)
NormalizedMutualInformation (SVMKit::EvaluationMeasure)

O

OneHotEncoder (SVMKit::Preprocessing)
OneVsRestClassifier (SVMKit::Multiclass)
Optimizer (SVMKit)

P

PCA (SVMKit::Decomposition)
PairwiseMetric (SVMKit)
PolynomialModel (SVMKit)
Precision (SVMKit::EvaluationMeasure)
Preprocessing (SVMKit)
ProbabilisticOutput (SVMKit)
Purity (SVMKit::EvaluationMeasure)

R

R2Score (SVMKit::EvaluationMeasure)
RBF (SVMKit::KernelApproximation)
RMSProp (SVMKit::Optimizer)
RandomForestClassifier (SVMKit::Ensemble)
RandomForestRegressor (SVMKit::Ensemble)
Recall (SVMKit::EvaluationMeasure)
Regressor (SVMKit::Base)
Ridge (SVMKit::LinearModel)

S

SGD (SVMKit::Optimizer)
SGDLinearEstimator (SVMKit::LinearModel)
SVC (SVMKit::LinearModel)
SVMKit
SVR (SVMKit::LinearModel)
Splitter (SVMKit::Base)
StandardScaler (SVMKit::Preprocessing)
StratifiedKFold (SVMKit::ModelSelection)

T

Transformer (SVMKit::Base)
Tree (SVMKit)

Y

YellowFin (SVMKit::Optimizer)